Toward Causal Representation Learning

The two fields of machine learning and graphical causality arose and are developed separately. However, there is, now, cross-pollination and increasing interest in both fields to benefit from the advances of the other. In this article, we review fundamental concepts of causal inference and relate th...

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Bibliographic Details

Published in:	Proceedings of the IEEE Vol. 109; no. 5; pp. 612 - 634
Main Authors:	Scholkopf, Bernhard, Locatello, Francesco, Bauer, Stefan, Ke, Nan Rosemary, Kalchbrenner, Nal, Goyal, Anirudh, Bengio, Yoshua
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptation models Artificial intelligence Causality Data models deep learning Differential equations Inference algorithms Machine learning Mathematical model Representation learning Representations Training data
ISSN:	0018-9219, 1558-2256
Online Access:	Get full text
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